Text Analytics is part of the Azure Cognitive Service for Language, a cloud-based service that provides Natural Language Processing (NLP) features for understanding and analyzing text. This client library offers the following features:

• Language detection
• Sentiment analysis
• Key phrase extraction
• Named entity recognition (NER)
• Personally identifiable information (PII) entity recognition
• Entity linking
• Text analytics for health
• Custom named entity recognition (Custom NER)
• Custom text classification
• Extractive text summarization
• Abstractive text summarization

See the README of the Text Analytics client library for more information, including useful links and instructions.

• Detect Language
• Analyze Sentiment
• Extract Key Phrases
• Recognize Named Entities
• Recognize PII Entities
• Recognize Linked Entities
• Analyze Healthcare Entities
• Custom Named Entity Recognition
• Custom Single Label Classification
• Custom Multi Label Classification
• Extractive Summarization
• Abstractive Summarization

• Understand how to work with long-running operations
• Perform multiple text analysis actions
• Analyze Sentiment with Opinion Mining
• Recognize PII Entities with specific categories
• Mock a client for testing using the Moq library